Adaptive Multimodal AI Tutoring: Using Real-Time Cues to Personalize Feedback and Support Engagement in Learning
This work presents an adaptive multimodal AI-driven tutoring system that infers learners’ states by interpreting real-time visual, auditory, and behavioral cues and illustrates the feasibility of integrating multimodal cues to enable adaptive instructional feedback and engagement-aware intervention in online learning c...